Python API 0.7.0

[rstz]

Feature

• Expose validate_hyperparameters() on the learner.
• Clarify which parameters in the learner are optional.
• Add support in JAX FeatureEncoder for non-string categorical feature values.
• Improve performance of Isolation Forests.
• Models can be serialized/deserialized to/from bytes with model.serialize()
  and ydf.deserialize_model.
• Models can be pickled safely.
• Native support for Xarray as a dataset format for all operations (e.g.,
  training, evaluation, predictions).
• The output of model.to_jax_function can be converted to a TensorFlow Lite
  model.
• Change the default number of examples to scan when training on files to
  determine the semantic and dictionaries of columns from 10k to 100k.
• Various improvements of error messages.
• Evaluation for Anomaly Detection models.
• Oblique splits for Anomaly Detection models.

Fix

• Fix parsing of multidimensional ragged inputs.
• Fix isolation forest hyperparameter defaults.
• Fix bug causing distributed training to fail on a sharded dataset containing
  an empty shard.
• Handle unordered categorical sets in training.
• Fix dataspec ignoring definitions of unrolled columns, such as
  multidimensional categorical integers.
• Fix error when defining categorical sets for non-ragged multidimensional
  inputs.
• MacOS: Fix compatibility with other protobuf-using libraries such as
  Tensorflow.

Release music

Rondo Alla ingharese quasi un capriccio "Die Wut über den verlorenen Groschen",
Op. 129. Ludwig van Beethoven

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This discussion was created from the release Python API 0.7.0.